update

app.py

@@ -4,7 +4,7 @@ from PIL import Image
 import numpy as np
 from aura_sr import AuraSR
 import torch
-import spaces
+#import spaces
 
 # Force CPU usage
 torch.set_default_tensor_type(torch.FloatTensor)
@@ -19,7 +19,7 @@ aura_sr = AuraSR.from_pretrained("fal-ai/AuraSR")
 # Restore original torch.load
 torch.load = original_load
 
-@spaces.GPU
+#@spaces.GPU
 def process_image(input_image):
     if input_image is None:
         return None
@@ -73,4 +73,4 @@ with gr.Blocks() as demo:
         cache_examples=True
     )
 
-demo.launch(debug=True)
+demo.launch(debug=True)

requirements.txt

@@ -1,3 +1,3 @@
-spaces
+#spaces
 aura-sr
-gradio-imageslider
+gradio-imageslider